4 papers
T-ADD: Enhancing DOA Estimation Robustness Against Adversarial Attacks
Shilian Zheng, Xiaoxiang Wu, Luxin Zhang +3
Deep learning has achieved remarkable success in direction-of-arrival (DOA) estimation. However, recent studies have shown that adversarial perturbations can severely compromise th…
DS-Pnet: FM-Based Positioning via Downsampling
Shilian Zheng, Xinjiang Qiu, Luxin Zhang +3
In this paper we present DS-Pnet, a novel framework for FM signal-based positioning that addresses the challenges of high computational complexity and limited deployment in resourc…
Deep Learning-Based Wideband Spectrum Sensing with Dual-Representation Inputs and Subband Shuffling Augmentation
Shilian Zheng, Zhihao Ye, Luxin Zhang +2
The widespread adoption of mobile communication technology has led to a severe shortage of spectrum resources, driving the development of cognitive radio technologies aimed at impr…
WK-Pnet: FM-Based Positioning via Wavelet Packet Decomposition and Knowledge Distillation
Shilian Zheng, Quan Lin, Peihan Qi +4
Accurate and efficient positioning in complex environments is critical for applications where traditional satellite-based systems face limitations, such as indoors or urban canyons…